1 00:00:00,080 --> 00:00:04,439 Speaker 1: These cities. The Jesse Kelly Show, Final hour. 2 00:00:04,240 --> 00:00:08,400 Speaker 2: Of The Jesse Kelly Show on a magnificent Tuesday. 3 00:00:08,560 --> 00:00:11,600 Speaker 1: So we're going to I'm gonna do kind of an 4 00:00:11,640 --> 00:00:15,160 Speaker 1: extended version, if you will not not from me about 5 00:00:15,160 --> 00:00:20,120 Speaker 1: something we've talked about a lot about how they weaponize 6 00:00:20,360 --> 00:00:24,200 Speaker 1: young women, how communists weaponize young women. They take their 7 00:00:24,400 --> 00:00:29,160 Speaker 1: wonderful nature and they twist it and manipulate it and 8 00:00:29,200 --> 00:00:33,199 Speaker 1: turn them into the most vicious, violent communist foot soldiers. 9 00:00:33,280 --> 00:00:36,720 Speaker 1: That that we're gonna do right away. We'll talk about 10 00:00:36,760 --> 00:00:41,159 Speaker 1: lowering prices in your life. We'll deal with some emails, smartphones, 11 00:00:41,200 --> 00:00:44,280 Speaker 1: all that. More is still to come. But first, before 12 00:00:44,320 --> 00:00:49,240 Speaker 1: we go any further these there's a couple long audio 13 00:00:49,360 --> 00:00:51,519 Speaker 1: hits here. I may stop them, I may not, but 14 00:00:51,560 --> 00:00:55,040 Speaker 1: I wanted to set this up first. First. You remember 15 00:00:55,040 --> 00:00:57,040 Speaker 1: what you and I have talked about many times before 16 00:00:58,080 --> 00:01:01,600 Speaker 1: about young women. You have you have all these all 17 00:01:01,600 --> 00:01:06,840 Speaker 1: these polls that are it's staggering the percentage of young 18 00:01:07,560 --> 00:01:12,200 Speaker 1: single women who turn communists, and then you find out 19 00:01:12,319 --> 00:01:17,279 Speaker 1: they are the most committed, vicious, violent communists on the planet, 20 00:01:17,319 --> 00:01:19,320 Speaker 1: and they and they stay that way as they get older, 21 00:01:19,360 --> 00:01:21,959 Speaker 1: even if they end up hap happening to have families. 22 00:01:22,080 --> 00:01:26,160 Speaker 1: They are diagnosed at over sixty percent or almost sixty, 23 00:01:26,440 --> 00:01:29,600 Speaker 1: right around sixty percent with mental illness, diagnosed with mental 24 00:01:29,640 --> 00:01:35,800 Speaker 1: illness miserable, anxiety, ridden, angry, bitter, vicious. But we're watching 25 00:01:35,880 --> 00:01:39,080 Speaker 1: our young women be destroyed by communism in this country. 26 00:01:39,120 --> 00:01:42,559 Speaker 1: But what's wild is this is not unique to us here. 27 00:01:44,080 --> 00:01:50,080 Speaker 1: Every communist movement has had young women in the vanguard 28 00:01:50,560 --> 00:01:55,760 Speaker 1: of its most vicious violent foot soldiers. Polepot love them, 29 00:01:56,160 --> 00:02:00,360 Speaker 1: love the men. Cambodia thought they were invaluable. But how 30 00:02:00,400 --> 00:02:07,560 Speaker 1: can that be when a woman is motherly and kind, 31 00:02:07,960 --> 00:02:12,160 Speaker 1: and a woman will see a wounded rat on the 32 00:02:12,240 --> 00:02:15,079 Speaker 1: side of the road and feel some sort of sympathy 33 00:02:15,120 --> 00:02:17,960 Speaker 1: for it. Can we rescue it? How could you go 34 00:02:18,120 --> 00:02:21,840 Speaker 1: from that to being the most vicious, violent creature on 35 00:02:21,880 --> 00:02:25,320 Speaker 1: the planet. Well, it's actually not as difficult as you think. 36 00:02:26,400 --> 00:02:31,480 Speaker 1: You take the wonderful nature and you don't have to 37 00:02:31,600 --> 00:02:33,640 Speaker 1: turn it around and do a one eighty with it, 38 00:02:33,760 --> 00:02:38,760 Speaker 1: not right away. You take the wonderful nature and you 39 00:02:38,880 --> 00:02:40,880 Speaker 1: just give it a little bit of an off ramp, 40 00:02:41,720 --> 00:02:44,480 Speaker 1: so it's still kind of moving in the right direction, 41 00:02:45,320 --> 00:02:48,360 Speaker 1: but you off ramped it. You see, you just diverted 42 00:02:48,400 --> 00:02:51,480 Speaker 1: it a little, and then you can divert it a 43 00:02:51,600 --> 00:02:54,840 Speaker 1: little more, and then a little more, and soon you've 44 00:02:54,880 --> 00:02:58,639 Speaker 1: done a one eighty. You take that wonderful young woman, 45 00:02:59,440 --> 00:03:04,880 Speaker 1: with her hind heart, with her motherly heart, and with 46 00:03:05,040 --> 00:03:10,320 Speaker 1: enough off ramps, with enough social conditioning, you turn her 47 00:03:10,480 --> 00:03:17,000 Speaker 1: into the mother of the communist revolution. Now, what's wonderful 48 00:03:17,000 --> 00:03:21,160 Speaker 1: about a mother? In always the humans? Chris just brought 49 00:03:21,200 --> 00:03:23,680 Speaker 1: up a bear. A bear is a great example. Do 50 00:03:23,760 --> 00:03:29,000 Speaker 1: you know the vast majority of bear attacks are mothers. 51 00:03:30,240 --> 00:03:32,880 Speaker 1: You know, I've told my sons when we're in Montana, 52 00:03:33,080 --> 00:03:36,400 Speaker 1: the most dangerous kind of bear you can see is 53 00:03:36,480 --> 00:03:41,320 Speaker 1: a bear cub. You know why because where there's a cub, 54 00:03:42,320 --> 00:03:47,560 Speaker 1: mom is nearby. And if mom even thinks there's a 55 00:03:47,840 --> 00:03:51,440 Speaker 1: chance you're going to harm her baby, she's going to 56 00:03:51,520 --> 00:03:55,000 Speaker 1: kill you or die trying. She will. That's what a 57 00:03:55,040 --> 00:03:58,880 Speaker 1: mother will do. Human mothers operate this way too. They'll 58 00:03:58,960 --> 00:04:02,080 Speaker 1: kill for their kids, they'll die for their kids. Well, 59 00:04:02,120 --> 00:04:05,400 Speaker 1: what if I can take that wonderful nature and I 60 00:04:05,440 --> 00:04:09,000 Speaker 1: can make you the mother of my revolution. We've talked 61 00:04:09,040 --> 00:04:14,000 Speaker 1: about this so Nicole Shanahan, she was the running mate 62 00:04:14,280 --> 00:04:17,600 Speaker 1: of RFK Junior. Remember he was running in the Democrat primary, 63 00:04:17,600 --> 00:04:19,880 Speaker 1: and then he left and ran as an independent. I 64 00:04:19,960 --> 00:04:22,560 Speaker 1: actually had a chance to meet and talk to Nicole 65 00:04:23,080 --> 00:04:25,640 Speaker 1: when we did this big event with Tucker Carlson down 66 00:04:25,680 --> 00:04:27,600 Speaker 1: here in Houston, when I was the guest. She was 67 00:04:27,680 --> 00:04:29,280 Speaker 1: kind of the opener for the whole thing, so I 68 00:04:29,680 --> 00:04:32,080 Speaker 1: got a chance to spend some time with her backstage. 69 00:04:32,360 --> 00:04:34,880 Speaker 1: Just a lovely, kind human being. You can tell a 70 00:04:34,960 --> 00:04:38,880 Speaker 1: kind human being, former LIB. And this is an extremely 71 00:04:38,960 --> 00:04:43,640 Speaker 1: wealthy Silicon Valley woman, former LIB who kind of woke 72 00:04:43,760 --> 00:04:46,480 Speaker 1: up and she gave this long interview, and so it's 73 00:04:46,560 --> 00:04:48,360 Speaker 1: very long. I don't know if I'll stop it. I might, 74 00:04:49,000 --> 00:04:52,720 Speaker 1: but you've heard it from me. That's me, though I'm 75 00:04:52,760 --> 00:04:56,520 Speaker 1: a barbarian. I want you to listen to Nicole, and 76 00:04:56,560 --> 00:04:58,760 Speaker 1: I want you to decide right now that you're going 77 00:04:58,800 --> 00:05:01,400 Speaker 1: to be very very careful with your baby girl, and they. 78 00:05:01,680 --> 00:05:04,680 Speaker 3: Find themselves like I would find myself. That was my 79 00:05:04,760 --> 00:05:07,839 Speaker 3: self worth was my philanthropic work, and I really believed 80 00:05:07,880 --> 00:05:11,159 Speaker 3: in it. I really believe that I was giving black 81 00:05:11,200 --> 00:05:16,440 Speaker 3: communities a chance to rise up out of oppression. I 82 00:05:16,480 --> 00:05:19,760 Speaker 3: really believe that I was helping indigenous communities rise up 83 00:05:19,800 --> 00:05:22,680 Speaker 3: out of oppression. And now that I look back and 84 00:05:22,720 --> 00:05:26,000 Speaker 3: see how all those grants are performing, you know, because 85 00:05:26,040 --> 00:05:30,599 Speaker 3: my version of successes, those communities are actually uplifted. Yeah, 86 00:05:30,920 --> 00:05:34,040 Speaker 3: not just more money pumped into them. Not just more money. No, 87 00:05:34,279 --> 00:05:37,039 Speaker 3: the problems of the community have gotten worse. Crime in 88 00:05:37,080 --> 00:05:40,680 Speaker 3: the community has gotten worse, mental health in the Native community, 89 00:05:40,800 --> 00:05:44,520 Speaker 3: the Indigenous community has gotten worse. They will even say 90 00:05:44,520 --> 00:05:48,560 Speaker 3: the Indigenous community will even say that their biggest supporters 91 00:05:48,600 --> 00:05:52,159 Speaker 3: in Congress have been Republicans, but yet they continue to 92 00:05:52,360 --> 00:05:57,000 Speaker 3: vote Democrat. Yeah, I mean that is that is this, 93 00:05:57,800 --> 00:06:03,120 Speaker 3: It's like the whole model is broken, the whole model 94 00:06:03,160 --> 00:06:08,560 Speaker 3: makes everybody worse off, and now we're contending with the 95 00:06:08,600 --> 00:06:12,080 Speaker 3: freaking great reset that we're now realizing is the terrible idea. 96 00:06:12,480 --> 00:06:14,360 Speaker 1: Yeah yeah, and that. 97 00:06:14,240 --> 00:06:19,800 Speaker 3: Many of our climate changes use our geoengineering issues. Yeah, well, 98 00:06:20,080 --> 00:06:21,440 Speaker 3: which is like at the end of the day, they 99 00:06:21,440 --> 00:06:23,840 Speaker 3: always go to that, they're like, but climate change, and 100 00:06:23,880 --> 00:06:26,280 Speaker 3: then yeah, that really is the end all be all, 101 00:06:26,400 --> 00:06:28,200 Speaker 3: Like you have to let us do this because of 102 00:06:28,240 --> 00:06:32,160 Speaker 3: climate change. Yeah, social justice and climate change. It always 103 00:06:32,160 --> 00:06:35,360 Speaker 3: boils down to those two things, and it gets progressive 104 00:06:35,400 --> 00:06:37,320 Speaker 3: women one hundred percent of the time. 105 00:06:37,240 --> 00:06:41,240 Speaker 1: It does. It does soue. 106 00:06:41,640 --> 00:06:44,159 Speaker 3: But I don't think many of the tech mafia wives 107 00:06:44,200 --> 00:06:46,680 Speaker 3: realize is that they were used. 108 00:06:47,040 --> 00:06:50,039 Speaker 1: Just the heads up, just heads up, the tech mafia wives. 109 00:06:50,080 --> 00:06:52,320 Speaker 1: I want to explain what she's describing. You probably already 110 00:06:52,320 --> 00:06:55,640 Speaker 1: figured out in the big tech world, the Silicon Valley world, 111 00:06:56,200 --> 00:06:59,440 Speaker 1: all those billions going into all this online stuff, all 112 00:06:59,440 --> 00:07:04,320 Speaker 1: this tech stuff. Well, those guys eventually get married, sometimes 113 00:07:04,320 --> 00:07:06,839 Speaker 1: to Russian and Chinese honeypots, but that's another story. But 114 00:07:06,880 --> 00:07:09,640 Speaker 1: those guys eventually get married, and so what do you have. 115 00:07:10,160 --> 00:07:13,720 Speaker 1: You have a bunch of wives who are absurdly wealthy, 116 00:07:14,280 --> 00:07:16,800 Speaker 1: and they get together, and they hang out together, and 117 00:07:16,840 --> 00:07:19,680 Speaker 1: they do things together. But we go back to what 118 00:07:19,680 --> 00:07:23,560 Speaker 1: we were discussing before about how these women they have 119 00:07:23,640 --> 00:07:26,240 Speaker 1: become mothers of the communist revolution, and when they go 120 00:07:26,360 --> 00:07:29,440 Speaker 1: out for drinks at Red Lobster on Friday night, they 121 00:07:29,480 --> 00:07:32,800 Speaker 1: don't just discuss how the neighbor needs to cut his grass. 122 00:07:32,920 --> 00:07:36,160 Speaker 1: You see, they are now the mothers of the communist revolution, 123 00:07:36,920 --> 00:07:40,360 Speaker 1: and they are there to push the communist revolution forward, 124 00:07:40,880 --> 00:07:44,200 Speaker 1: to help it forward, to help it succeed as mothers do. 125 00:07:44,400 --> 00:07:46,960 Speaker 1: When she says the tech mafia wives, because it's a 126 00:07:46,960 --> 00:07:49,520 Speaker 1: real vicious, tight knit group. That's what she's talking about. 127 00:07:49,560 --> 00:07:51,920 Speaker 3: But I don't think many of the tech mafia wives 128 00:07:51,960 --> 00:07:56,280 Speaker 3: realize is that they were used to set the groundwork 129 00:07:57,120 --> 00:08:01,040 Speaker 3: for what was called like the Reset, what it's called 130 00:08:01,120 --> 00:08:05,680 Speaker 3: generally as like the Reset by the Klaus Schwabs, like 131 00:08:05,720 --> 00:08:07,440 Speaker 3: the Great Reset, the Great Reset. 132 00:08:07,560 --> 00:08:07,760 Speaker 2: Yeah. 133 00:08:07,840 --> 00:08:11,720 Speaker 3: They I mean they openly talk about this Great Reset. Yeah. 134 00:08:11,760 --> 00:08:15,560 Speaker 3: So the tech wive mafias, I believe, were kind of 135 00:08:15,600 --> 00:08:18,280 Speaker 3: being conscripted in many ways and their money, especially as 136 00:08:18,320 --> 00:08:26,160 Speaker 3: being conscripted in to set the groundwork for the Great Reset. Yeah, 137 00:08:26,200 --> 00:08:37,760 Speaker 3: specifically through a network of non NGO advisors, relationship with Hollywood, 138 00:08:38,559 --> 00:08:43,680 Speaker 3: relationship with Davos and their own companies. So if you 139 00:08:43,720 --> 00:08:46,800 Speaker 3: look at like who's on these boards, who hangs out 140 00:08:46,840 --> 00:08:51,000 Speaker 3: with each other, how these culture, how the culture of 141 00:08:51,720 --> 00:08:54,440 Speaker 3: tech wealth works, like Silicon Valley tech wealth in that 142 00:08:54,840 --> 00:08:58,240 Speaker 3: small group of people responsible for a huge amount of 143 00:08:58,240 --> 00:09:01,760 Speaker 3: money and a huge amount of envy and NGO activity 144 00:09:01,760 --> 00:09:05,400 Speaker 3: across the United States. It's a really small group of people, 145 00:09:05,520 --> 00:09:09,000 Speaker 3: and it's a really small group of people making these decisions, yeah, 146 00:09:09,280 --> 00:09:15,120 Speaker 3: and then completely blind to everything else that's going on 147 00:09:16,000 --> 00:09:21,360 Speaker 3: and how their groundwork is being used to then enable 148 00:09:22,720 --> 00:09:26,400 Speaker 3: these other policies, these great reset policies. 149 00:09:27,920 --> 00:09:32,200 Speaker 1: What is this great reset? Who is this Klaus Schwab, Well, 150 00:09:32,520 --> 00:09:34,800 Speaker 1: he's the head of the World Economic Forum. Do you 151 00:09:34,840 --> 00:09:37,880 Speaker 1: want to hear with the tech mafia wives or what 152 00:09:38,200 --> 00:09:42,680 Speaker 1: they're pushing forward with their husband's money? Oh hey, Klaus, 153 00:09:42,760 --> 00:09:43,839 Speaker 1: why don't you tell us so? 154 00:09:43,960 --> 00:09:47,120 Speaker 4: World Economic Form is now very much engaged into this 155 00:09:47,200 --> 00:09:53,120 Speaker 4: initiative of shaping a great reset for the postco or 156 00:09:53,160 --> 00:09:57,640 Speaker 4: not era steps we are undertaking to have business leaders 157 00:09:57,679 --> 00:10:03,080 Speaker 4: accepting to report on Esgese. I think we should use 158 00:10:04,240 --> 00:10:09,559 Speaker 4: social contact as an expression of the transition of one 159 00:10:09,679 --> 00:10:14,280 Speaker 4: world to another low. I think it's the key narative 160 00:10:15,000 --> 00:10:18,520 Speaker 4: which we should have is to move from a society 161 00:10:19,040 --> 00:10:23,520 Speaker 4: which is built on production and consumption to a society 162 00:10:23,559 --> 00:10:26,319 Speaker 4: which is built on caring and sharing. 163 00:10:27,720 --> 00:10:33,720 Speaker 1: Caring and sharing sounds so lovely, doesn't it? And it 164 00:10:33,800 --> 00:10:38,160 Speaker 1: works on the right demographic. Be careful with your baby, girl. 165 00:10:38,920 --> 00:10:43,360 Speaker 2: It is the Jesse Kelly Show on a Tuesday. You 166 00:10:43,360 --> 00:10:46,959 Speaker 2: can email us Jesse at Jesse kellyshow dot com. 167 00:10:46,960 --> 00:10:49,800 Speaker 1: No, Chris, this is a good idea. Listen to me. 168 00:10:50,200 --> 00:10:52,840 Speaker 1: So Jewish producer Chris and I were talking during the 169 00:10:52,840 --> 00:10:56,319 Speaker 1: break and you know he's one of these nerds, one 170 00:10:56,360 --> 00:11:00,319 Speaker 1: of these mechanic type nerds. He has some sort of 171 00:11:00,320 --> 00:11:03,240 Speaker 1: an idea on how to make the gas engine more efficient? 172 00:11:03,400 --> 00:11:07,120 Speaker 1: Is that it, Chris, I'm not even joking. He reached 173 00:11:07,160 --> 00:11:12,440 Speaker 1: out to Toyota and they never responded. I told him 174 00:11:12,640 --> 00:11:16,480 Speaker 1: right before we got back from break, he needs to 175 00:11:16,520 --> 00:11:20,280 Speaker 1: make some sort of Hiroshima joke. Now listen, I know 176 00:11:20,360 --> 00:11:23,360 Speaker 1: you think that's crass and it's low class, and that 177 00:11:23,400 --> 00:11:28,960 Speaker 1: may be, but it's called an icebreaker, man, It's called 178 00:11:29,280 --> 00:11:34,640 Speaker 1: an icebreaker. You break through the ice with a fairly 179 00:11:34,800 --> 00:11:39,800 Speaker 1: benign insalt. It's been years, it's been decades. I bet 180 00:11:39,800 --> 00:11:43,560 Speaker 1: they're over it by now. You break the ice, you 181 00:11:43,679 --> 00:11:48,280 Speaker 1: make one small adam bomb joke. Maybe they reach out 182 00:11:48,280 --> 00:11:50,880 Speaker 1: in anger and then you're all, hey, did you see 183 00:11:50,960 --> 00:11:56,080 Speaker 1: my gasolene email? I'm telling you this works? What what 184 00:11:58,880 --> 00:12:00,520 Speaker 1: I'll You want me to do it? You know I'll 185 00:12:00,559 --> 00:12:02,400 Speaker 1: do it. Why wouldn't I do it? You know all, 186 00:12:02,400 --> 00:12:04,200 Speaker 1: I'll do it. I'll do it. You're on the air. 187 00:12:04,559 --> 00:12:07,200 Speaker 1: It doesn't matter to me. I'll do it. But I'm 188 00:12:07,200 --> 00:12:10,320 Speaker 1: not the one with gasoline ideas, Chris, because I'm not 189 00:12:10,360 --> 00:12:13,120 Speaker 1: a huge nerd, and that would never even occur to 190 00:12:13,200 --> 00:12:17,119 Speaker 1: me to make improvements to the gasoline engine. My gasoline 191 00:12:17,120 --> 00:12:19,640 Speaker 1: engine does everything I needed to do. I put gas 192 00:12:19,640 --> 00:12:22,600 Speaker 1: in it and it gets me too and from the office. 193 00:12:22,679 --> 00:12:28,680 Speaker 1: That's all I need from it. Ever, what I could 194 00:12:28,679 --> 00:12:34,320 Speaker 1: get ten percent more miles per gallon? Chris, with all 195 00:12:34,400 --> 00:12:40,320 Speaker 1: due respect, do you really think that you have come 196 00:12:40,400 --> 00:12:44,360 Speaker 1: up with the solution the Japanese have not already come 197 00:12:44,440 --> 00:12:48,360 Speaker 1: up with These people were working smartphones in like the 198 00:12:48,400 --> 00:12:50,600 Speaker 1: fifties or something. I don't know exactly when they were 199 00:12:50,640 --> 00:12:52,640 Speaker 1: all on that, but you know, everybody, by the way, 200 00:12:52,920 --> 00:12:55,280 Speaker 1: I just want to tell everybody this. You know how everybody, 201 00:12:55,360 --> 00:13:02,720 Speaker 1: myself included, has a smartphone. Now here's the deal. When 202 00:13:02,840 --> 00:13:05,920 Speaker 1: we were in Japan and the Marines, this would have 203 00:13:05,960 --> 00:13:12,480 Speaker 1: been oh two two one to o two somewhere somewhere 204 00:13:12,480 --> 00:13:14,160 Speaker 1: in there. I think it was one two thousand and one. 205 00:13:14,920 --> 00:13:18,839 Speaker 1: Remember remember when you got your first cell phone back 206 00:13:18,960 --> 00:13:21,199 Speaker 1: in two thousand and one, I'll just call it two 207 00:13:21,200 --> 00:13:24,240 Speaker 1: thousand and one. When we would hop on the train 208 00:13:24,320 --> 00:13:29,840 Speaker 1: and go into Tokyo, every single Japanese person on the train, 209 00:13:29,960 --> 00:13:33,120 Speaker 1: and I mean every one of them was sitting there 210 00:13:33,520 --> 00:13:37,520 Speaker 1: with some big smartphone in their hands that had the keyboard. 211 00:13:37,559 --> 00:13:40,320 Speaker 1: Remember the ones that had the actual physical keyboards on it. 212 00:13:40,520 --> 00:13:43,160 Speaker 1: Only that was a that was an advanced thing. Every 213 00:13:43,240 --> 00:13:46,280 Speaker 1: one of them had these things. Chris, So, with all 214 00:13:46,400 --> 00:13:49,600 Speaker 1: due respect, do you think that you have come up 215 00:13:49,640 --> 00:13:53,360 Speaker 1: with some revolutionary concept that will get me ten percent 216 00:13:53,520 --> 00:13:59,400 Speaker 1: more gallons or miles per gallon than the Japanese? Buddy? 217 00:14:00,240 --> 00:14:03,960 Speaker 1: Come on, we all know that's not Look, why don't 218 00:14:03,960 --> 00:14:08,240 Speaker 1: you stick with your particular area, Chris, Gold and silver? 219 00:14:08,520 --> 00:14:15,480 Speaker 1: Maybe medicine, the legal profession. I'm not trying to be rude. 220 00:14:15,760 --> 00:14:18,640 Speaker 1: I'm just no, I'm not being rude. I'm just saying, 221 00:14:19,400 --> 00:14:22,840 Speaker 1: let's understand our strengths. Okay, let's understand our strengths, Jesse. 222 00:14:23,720 --> 00:14:27,000 Speaker 1: As US Attorney General, Pam Bondi does a disservice to 223 00:14:27,080 --> 00:14:31,680 Speaker 1: blondes by proving that blonde jokes can be true. It's 224 00:14:31,720 --> 00:14:37,560 Speaker 1: not a disservice to blonds. I warned for everybody a 225 00:14:37,640 --> 00:14:41,520 Speaker 1: long time ago, and people from Florida knew this before 226 00:14:41,560 --> 00:14:48,440 Speaker 1: I knew this, that Pam Bondi is establishment GOP. That's 227 00:14:48,440 --> 00:14:52,360 Speaker 1: what she always was. Be always be very careful. And 228 00:14:52,440 --> 00:14:58,200 Speaker 1: everybody's guilty of this. Be careful of projecting your wants 229 00:14:58,200 --> 00:15:04,000 Speaker 1: and needs onto anyone else, let alone a politician, even 230 00:15:04,080 --> 00:15:08,040 Speaker 1: a politician who maybe says the right things from time 231 00:15:08,120 --> 00:15:13,720 Speaker 1: to time. They that's how they get elected. That's how 232 00:15:13,720 --> 00:15:18,240 Speaker 1: they're trained. They're trained to know what you like, to 233 00:15:18,360 --> 00:15:21,440 Speaker 1: know what you want, and then they say it and 234 00:15:21,480 --> 00:15:26,160 Speaker 1: then you believe them. When Trump got elected again and 235 00:15:26,200 --> 00:15:30,360 Speaker 1: he started putting into place all these reformers and all 236 00:15:30,440 --> 00:15:33,280 Speaker 1: the horrible stuff that had been done to him, you know, 237 00:15:33,320 --> 00:15:34,960 Speaker 1: they tried to kill him and tried to throw him 238 00:15:35,000 --> 00:15:39,640 Speaker 1: in prison and things like that. We watched his attorney 239 00:15:39,720 --> 00:15:42,640 Speaker 1: general pick, well, his first one got defeated, Matt Gates. 240 00:15:43,240 --> 00:15:47,800 Speaker 1: Then he picked Pam Bondy, and most likely you're fairly 241 00:15:48,160 --> 00:15:52,840 Speaker 1: you were at least fairly unfamiliar with Pambondy. But hey, 242 00:15:53,240 --> 00:15:57,480 Speaker 1: Trump's picking all these reformers. Trump has been shot and 243 00:15:57,680 --> 00:16:03,120 Speaker 1: framed and surely done old. Trump's attorney general pick is 244 00:16:03,200 --> 00:16:07,360 Speaker 1: going to be this fire breathing anti communist who's going 245 00:16:07,440 --> 00:16:10,960 Speaker 1: to take all these bad actors in DC and throw 246 00:16:11,000 --> 00:16:17,560 Speaker 1: them into prison. Well that's your thoughts and my thoughts. 247 00:16:17,640 --> 00:16:21,760 Speaker 1: By the way, those are our desires, yours in mind. 248 00:16:22,720 --> 00:16:26,720 Speaker 1: That doesn't mean that's who she is. Do you think 249 00:16:26,760 --> 00:16:30,440 Speaker 1: at sixty years old, it's how old she is? Do 250 00:16:30,480 --> 00:16:33,680 Speaker 1: you think it's sixty years old? She woke up one 251 00:16:33,720 --> 00:16:37,200 Speaker 1: morning and decided to be a fire breathing anti communist 252 00:16:37,920 --> 00:16:43,160 Speaker 1: after a lifetime of being fairly establishment. She is what 253 00:16:43,200 --> 00:16:46,600 Speaker 1: she is. And this is why I've encouraged the Trump 254 00:16:46,640 --> 00:16:50,840 Speaker 1: administration and I will continue to encourage them to use 255 00:16:50,920 --> 00:16:54,880 Speaker 1: zip recruiter. It's time to find somebody what, Chris, It's 256 00:16:54,920 --> 00:16:59,080 Speaker 1: time to find somebody new. And when you're hiring somebody 257 00:16:59,240 --> 00:17:03,200 Speaker 1: new that there is no better place to go than 258 00:17:03,320 --> 00:17:07,800 Speaker 1: zip recruiter. There's a reason, mister Trump, mister President, there's 259 00:17:07,840 --> 00:17:11,600 Speaker 1: a reason zip recruiter is the hiring site employers prefer 260 00:17:11,680 --> 00:17:16,480 Speaker 1: the most because they have stacks and stacks of qualified 261 00:17:16,600 --> 00:17:19,480 Speaker 1: candidates waiting for you to get in there and post 262 00:17:19,560 --> 00:17:23,760 Speaker 1: your job. Four out of five employers who post on 263 00:17:23,880 --> 00:17:30,400 Speaker 1: ZipRecruiter get somebody good. The first day you're frustrated because 264 00:17:30,440 --> 00:17:33,320 Speaker 1: you can't find that one you're looking for, that permanent 265 00:17:33,320 --> 00:17:37,320 Speaker 1: worker or that temp worker for the Christmas season. You 266 00:17:37,359 --> 00:17:40,040 Speaker 1: haven't tried ZipRecruiter yet, and you can try it for 267 00:17:40,119 --> 00:17:47,080 Speaker 1: free at ZipRecruiter dot com. Slash Jesse. That's ZipRecruiter dot 268 00:17:47,119 --> 00:17:53,640 Speaker 1: com slash Jesse, try it for free? All right, all right, yeah, 269 00:17:53,720 --> 00:17:56,080 Speaker 1: talk briefly and the fact speaking of this, we're gonna 270 00:17:56,080 --> 00:18:01,520 Speaker 1: start talk briefly about smartphones. Next is Jesse Kelly shall 271 00:18:01,600 --> 00:18:05,200 Speaker 1: on a Tuesday. Remember, if you missed a single second 272 00:18:05,280 --> 00:18:08,080 Speaker 1: of it, you have to download it on iHeart, Spotify, 273 00:18:08,400 --> 00:18:11,119 Speaker 1: I tun in the name of a just merciful gun. 274 00:18:11,640 --> 00:18:16,160 Speaker 1: How smartphones expose your kids to predators, and why Congress 275 00:18:16,240 --> 00:18:18,840 Speaker 1: must step in. Well, I'm gonna step I'm gonna set 276 00:18:18,880 --> 00:18:22,439 Speaker 1: aside the Congress stepping in part. I'm just gonna do 277 00:18:22,520 --> 00:18:26,160 Speaker 1: a little PSA. This little PSA will do some emails 278 00:18:26,160 --> 00:18:31,399 Speaker 1: and some other stuff, taxes and other things. Remember that 279 00:18:32,240 --> 00:18:35,680 Speaker 1: all of us, not just children, but children too, all 280 00:18:35,720 --> 00:18:39,320 Speaker 1: of us in this era, we have to deal with 281 00:18:39,480 --> 00:18:43,399 Speaker 1: a problem no other human in the history of the 282 00:18:43,400 --> 00:18:48,560 Speaker 1: world has had to deal with. You are able to 283 00:18:48,680 --> 00:18:56,680 Speaker 1: hold something in your hands that gives you access to everything, 284 00:18:58,119 --> 00:19:08,199 Speaker 1: absolutely everything, the best, the worst, everything. This is not 285 00:19:08,520 --> 00:19:13,560 Speaker 1: something human beings were built to deal with. No other 286 00:19:13,640 --> 00:19:17,160 Speaker 1: person is that that weird. No other generation in the 287 00:19:17,240 --> 00:19:20,919 Speaker 1: history of the world has encountered that problem. And I 288 00:19:21,000 --> 00:19:24,760 Speaker 1: know they've all had their own issues. No generation has 289 00:19:24,800 --> 00:19:27,919 Speaker 1: had to deal with the problem of it's not just 290 00:19:28,160 --> 00:19:33,080 Speaker 1: access to everything, it's access to everything in my hand. 291 00:19:33,760 --> 00:19:36,520 Speaker 1: It would be bad enough if it was just let's say, 292 00:19:36,960 --> 00:19:39,440 Speaker 1: a home computer, not even a laptop. It's just at 293 00:19:39,440 --> 00:19:44,520 Speaker 1: my home, it's on a desk somewhere. That would be something. 294 00:19:44,920 --> 00:19:49,560 Speaker 1: But it's in my pocket. I'm holding mine in my 295 00:19:49,720 --> 00:19:52,119 Speaker 1: hands right now, just I don't know why. As an 296 00:19:52,119 --> 00:19:56,600 Speaker 1: example to for anybody who's watching, it's for effect. It's 297 00:19:56,640 --> 00:20:03,680 Speaker 1: in your hands now. For a a grown adult, that's 298 00:20:03,720 --> 00:20:08,280 Speaker 1: a lot. That's probably too much to deal with. For 299 00:20:08,400 --> 00:20:14,640 Speaker 1: a kid man, that's asking too much of them. This 300 00:20:14,680 --> 00:20:18,800 Speaker 1: is not me telling you take away your kids' phones. 301 00:20:19,560 --> 00:20:21,520 Speaker 1: It's not that it's not that my kids have phones. 302 00:20:21,520 --> 00:20:23,480 Speaker 1: I'm not going to be a huge hypocrite here, I'm not. 303 00:20:24,720 --> 00:20:31,600 Speaker 1: But just understand that and take precautions. Please. Children, I mean, 304 00:20:31,640 --> 00:20:35,320 Speaker 1: adults aren't able to handle this kind of information overload. 305 00:20:36,280 --> 00:20:42,560 Speaker 1: Children have no chance, no chance whatsoever, unless you help them. 306 00:20:42,720 --> 00:20:46,840 Speaker 1: And that's the thing. Unless you're planning on going off 307 00:20:46,880 --> 00:20:50,440 Speaker 1: the grid and moving to the mountains, we are going 308 00:20:50,480 --> 00:20:52,320 Speaker 1: to have to learn how to deal with it together. 309 00:20:53,400 --> 00:20:56,520 Speaker 1: And your children are going to have to learn to 310 00:20:56,600 --> 00:21:01,240 Speaker 1: deal with it. If AI is coming, that the technology 311 00:21:01,320 --> 00:21:05,080 Speaker 1: is not about to get dumber. The technology is about 312 00:21:05,080 --> 00:21:09,600 Speaker 1: to get unbelievably smart. I think I already maybe told 313 00:21:09,640 --> 00:21:13,920 Speaker 1: you this, if not tell you right now. So AI stuff. 314 00:21:14,560 --> 00:21:17,520 Speaker 1: I've been learning more and more about AI stuff, not 315 00:21:17,520 --> 00:21:20,040 Speaker 1: because I care about it. I choose to not embrace 316 00:21:20,119 --> 00:21:23,639 Speaker 1: AI at all, but because I know it's coming, and 317 00:21:23,680 --> 00:21:25,800 Speaker 1: I know it's going to be something that affects your 318 00:21:25,800 --> 00:21:28,640 Speaker 1: life and probably affects my life, and so I feel 319 00:21:28,680 --> 00:21:34,480 Speaker 1: an obligation to learn more about it. There's already AI 320 00:21:34,720 --> 00:21:38,040 Speaker 1: technology out there. It already exists. Get this, wrap your 321 00:21:38,040 --> 00:21:43,280 Speaker 1: mind around this that will if you allow it access, 322 00:21:43,920 --> 00:21:47,960 Speaker 1: it will search through your emails and your text messages. 323 00:21:48,240 --> 00:21:52,760 Speaker 1: And let's say, let's say I was texting ob earlier, Hey, 324 00:21:53,880 --> 00:21:55,639 Speaker 1: you want to go out and have date night tonight. 325 00:21:56,359 --> 00:21:58,320 Speaker 1: Let's go out to dinner. I'll take you out to dinner, 326 00:21:58,800 --> 00:22:01,600 Speaker 1: leave the boys at home, and she texts me back, yeah, 327 00:22:01,720 --> 00:22:05,119 Speaker 1: let's do it. So on and so forth. The AI 328 00:22:05,240 --> 00:22:12,840 Speaker 1: technology already exists that can learn our habits, read our 329 00:22:12,960 --> 00:22:18,800 Speaker 1: emails and text messages. And after reading the text exchange 330 00:22:18,920 --> 00:22:22,880 Speaker 1: between my wife and I reaches out to our favorite 331 00:22:22,920 --> 00:22:28,800 Speaker 1: restaurant and makes a dinner reservation for us that already 332 00:22:28,920 --> 00:22:34,520 Speaker 1: exists today. Where is that ten years from now? I 333 00:22:34,560 --> 00:22:37,480 Speaker 1: don't know. And if you're asking if it worries me, 334 00:22:37,600 --> 00:22:40,679 Speaker 1: it does. But anyway, that's not the point. The point 335 00:22:40,800 --> 00:22:46,359 Speaker 1: is we are we cannot shield our children from technology 336 00:22:46,400 --> 00:22:50,600 Speaker 1: and from the technological age. There are people who believe, 337 00:22:50,680 --> 00:22:53,240 Speaker 1: and I don't know that I necessarily believe this, but 338 00:22:53,280 --> 00:22:57,479 Speaker 1: there are people who believe this, that we are living 339 00:22:58,320 --> 00:23:04,000 Speaker 1: in the final day where man is the main driver 340 00:23:04,320 --> 00:23:11,520 Speaker 1: on the planet, that robots technology AI will essentially take 341 00:23:11,600 --> 00:23:15,440 Speaker 1: over leading rules in so many things and do much 342 00:23:15,440 --> 00:23:17,680 Speaker 1: of the physical labor. And I know, Chris, I don't believe. 343 00:23:17,680 --> 00:23:19,840 Speaker 1: I don't necessarily go I won't go that far either, 344 00:23:20,119 --> 00:23:24,280 Speaker 1: But there are super smart people who believe that wherever 345 00:23:24,320 --> 00:23:26,679 Speaker 1: we're going, and I don't know, and you don't know, 346 00:23:26,720 --> 00:23:29,399 Speaker 1: nobody probably knows, because it's very hard to predict these things. 347 00:23:29,720 --> 00:23:33,919 Speaker 1: Wherever we're going, technology isn't going away. So I'm not 348 00:23:34,040 --> 00:23:36,399 Speaker 1: telling you to move to the mountains into a log 349 00:23:36,440 --> 00:23:41,000 Speaker 1: cabin and get a windmill and go poop in the outhouse. 350 00:23:41,040 --> 00:23:44,879 Speaker 1: I'm not telling you that but just be careful, okay, 351 00:23:44,920 --> 00:23:49,600 Speaker 1: with yourself and your children. Speaking of pooping in the outhouse. 352 00:23:51,240 --> 00:23:54,760 Speaker 1: I tell you what we're going through on our block. 353 00:23:55,760 --> 00:23:58,080 Speaker 1: I just got a text from MOB thirty seconds ago. 354 00:23:58,600 --> 00:24:03,000 Speaker 1: I got a text from Mob the water pressure. I'm 355 00:24:03,000 --> 00:24:06,080 Speaker 1: sure someone busted a water line or something. The water 356 00:24:06,160 --> 00:24:11,159 Speaker 1: pressure's gone from our block. There's no water pressure. And 357 00:24:11,320 --> 00:24:13,080 Speaker 1: she texted me I have the blue She said, hey, 358 00:24:13,800 --> 00:24:16,320 Speaker 1: make sure you talk to me before using the bathroom 359 00:24:16,400 --> 00:24:19,800 Speaker 1: when you get home. And I said, well, did you 360 00:24:19,840 --> 00:24:21,920 Speaker 1: have a rough one or something like that. She didn't 361 00:24:21,960 --> 00:24:24,679 Speaker 1: find that that funny, but she said, no, idiot, that 362 00:24:24,880 --> 00:24:29,280 Speaker 1: there's no water pressure. Anyway. I texted her back, well, 363 00:24:29,280 --> 00:24:32,800 Speaker 1: what if I have to use the bathroom? And you 364 00:24:32,840 --> 00:24:37,040 Speaker 1: know what? She texted me back, go at work? As 365 00:24:37,080 --> 00:24:40,639 Speaker 1: if I can just program myself to go whenever. What 366 00:24:40,680 --> 00:24:44,359 Speaker 1: if I need to take a shower, what if? See 367 00:24:44,400 --> 00:24:47,080 Speaker 1: this is what it was like, Chris. This is exactly 368 00:24:47,119 --> 00:24:49,800 Speaker 1: what it was like for Christopher Columbus and the explorers. 369 00:24:49,800 --> 00:24:51,679 Speaker 1: What are you rolling your eyes for? This is what 370 00:24:51,720 --> 00:24:55,320 Speaker 1: it was like. What Chris? You know what? That's a 371 00:24:55,359 --> 00:24:58,480 Speaker 1: good point, Chris. This is worse than Columbus. He could 372 00:24:58,520 --> 00:25:00,720 Speaker 1: poop in the water. I'm sure sure he had some 373 00:25:00,760 --> 00:25:03,040 Speaker 1: sort of a system rigged up where he would hang 374 00:25:03,080 --> 00:25:05,840 Speaker 1: his butt over the ocean and pooped out on all 375 00:25:05,880 --> 00:25:08,560 Speaker 1: the sharks that used to follow all those ships. Well, 376 00:25:09,320 --> 00:25:11,560 Speaker 1: I don't have an ocean. I don't have any kind 377 00:25:11,560 --> 00:25:13,960 Speaker 1: of a contraption. You know what I do have, though, 378 00:25:14,880 --> 00:25:18,919 Speaker 1: the neighbor's yard. Listen to me, No, listen, Chris. Remember 379 00:25:18,960 --> 00:25:23,719 Speaker 1: this is the neighbor that doesn't mow his lawn, and 380 00:25:24,680 --> 00:25:28,439 Speaker 1: my lawn has mowed all the time. Is there a 381 00:25:28,480 --> 00:25:34,280 Speaker 1: better revenge? Think of what? What? You know what? That's 382 00:25:34,320 --> 00:25:36,879 Speaker 1: a good point. The lawn would be more fertilized. Crap 383 00:25:36,960 --> 00:25:39,760 Speaker 1: I didn't even think about that, all right, just on 384 00:25:39,840 --> 00:25:42,520 Speaker 1: his sidewalk. Then forget about the lawn on his sidewalk. 385 00:25:42,760 --> 00:25:45,800 Speaker 1: Problem solved, Problem solved. And if he has any problem 386 00:25:45,840 --> 00:25:49,480 Speaker 1: with that, he can text a friend. Let me tell you, Jesse. 387 00:25:50,080 --> 00:25:52,520 Speaker 1: As much as the murder of your child's goldfish was 388 00:25:52,560 --> 00:25:55,960 Speaker 1: brutal and heartless, it may have been the more humane act. 389 00:25:56,440 --> 00:25:58,560 Speaker 1: As a small child. My family and I went on 390 00:25:58,680 --> 00:26:02,240 Speaker 1: vacation over a week with no contingency to feed my goldfish. 391 00:26:02,720 --> 00:26:06,480 Speaker 1: We went to Montana and saw buffalo and bear. Upon return, 392 00:26:06,960 --> 00:26:11,720 Speaker 1: we found my beloved fish in an advanced state of decomposition. 393 00:26:12,320 --> 00:26:15,199 Speaker 1: His little body crumbled as we removed it from the 394 00:26:15,200 --> 00:26:19,040 Speaker 1: watery death chamber. Your son's fish likely flopped around for 395 00:26:19,080 --> 00:26:21,679 Speaker 1: an hour or so in the PVC drained system in 396 00:26:21,720 --> 00:26:25,359 Speaker 1: your house. My fish would have slowly died of starvation 397 00:26:25,560 --> 00:26:29,000 Speaker 1: in his solitary bull in the august heat. You're still 398 00:26:29,040 --> 00:26:32,280 Speaker 1: a terrible person, But I too have goldfish blood on 399 00:26:32,320 --> 00:26:37,720 Speaker 1: my hands. His name is Dave. I had no other choice. 400 00:26:38,160 --> 00:26:41,320 Speaker 1: I'm not going to pay to have somebody come into 401 00:26:41,320 --> 00:26:44,760 Speaker 1: the house and feed the freaking fish that the kid 402 00:26:44,840 --> 00:26:49,720 Speaker 1: didn't care about. What, Chris, Why didn't I take the 403 00:26:49,760 --> 00:26:56,200 Speaker 1: bowl to the neighbor's house. I didn't think of it. 404 00:26:56,640 --> 00:27:00,640 Speaker 1: I chose the only path I could think of, Chris. Okay, look, 405 00:27:01,680 --> 00:27:04,639 Speaker 1: there may be pictures still of old buttery. The fish 406 00:27:05,160 --> 00:27:08,720 Speaker 1: pictures that you can have digitized with Legacy Box is 407 00:27:08,720 --> 00:27:12,080 Speaker 1: the what That's the whole point of Legacy Box. Legacy 408 00:27:12,119 --> 00:27:15,600 Speaker 1: Box will take these home movies. You have those VHS 409 00:27:15,680 --> 00:27:17,880 Speaker 1: tapes that are sitting in a box that are being 410 00:27:17,960 --> 00:27:20,520 Speaker 1: destroyed by the heat and humidity in the cold as 411 00:27:20,600 --> 00:27:24,840 Speaker 1: we speak. The home pictures I'm talking about the hard 412 00:27:24,840 --> 00:27:28,520 Speaker 1: copy pictures, not the stuff on your phone. Legacy Box 413 00:27:28,760 --> 00:27:32,879 Speaker 1: is the company, the Tennessee company that digitizes that stuff 414 00:27:32,880 --> 00:27:40,080 Speaker 1: for you. Right now. It's their cyber Week event. Sixty 415 00:27:40,119 --> 00:27:47,080 Speaker 1: five percent off, sixty five percent off. Obviously, supplies unlimited, 416 00:27:47,440 --> 00:27:53,200 Speaker 1: the timeframe is limited. Get these memories digitized. Man, there 417 00:27:53,480 --> 00:27:57,640 Speaker 1: there's nothing more precious that having my dad's pictures on 418 00:27:57,680 --> 00:28:05,760 Speaker 1: my phone forever. Legacybox dot Com slash Jesse Legacybox dot 419 00:28:05,800 --> 00:28:12,480 Speaker 1: com slash Jesse. We'll be back Jesse Kelly Hit. 420 00:28:12,640 --> 00:28:17,200 Speaker 2: Is the Jesse Kelly Show final segment of a Jesse Kelly's Show. 421 00:28:17,280 --> 00:28:21,520 Speaker 2: You can email us Jesse at Jesse kellyshow dot com. Also, 422 00:28:22,000 --> 00:28:24,280 Speaker 2: I'm pretty sure the state of California should be sued 423 00:28:24,320 --> 00:28:25,120 Speaker 2: into bankruptcy. 424 00:28:26,200 --> 00:28:29,199 Speaker 1: You see this, These stories keep happening. 425 00:28:29,320 --> 00:28:32,280 Speaker 5: It's an A legal migrant truck driver from India is 426 00:28:32,400 --> 00:28:36,639 Speaker 5: charged with negligent homicide after allegedly killing two people in 427 00:28:36,720 --> 00:28:40,240 Speaker 5: a crash in Bend, Oregon last week. Ice has lodged 428 00:28:40,280 --> 00:28:42,720 Speaker 5: a detainer for his arrest. They say he entered the 429 00:28:42,760 --> 00:28:45,960 Speaker 5: US legally and was released back into the country under 430 00:28:46,040 --> 00:28:50,640 Speaker 5: President Biden, and he obtained a commercial driver's license from California. 431 00:28:52,600 --> 00:28:56,080 Speaker 1: The largest, richest, most powerful state in the United States 432 00:28:56,160 --> 00:29:04,080 Speaker 1: of America, provides sanctuary and commercial drivers' licenses to illegals 433 00:29:04,120 --> 00:29:07,400 Speaker 1: who don't even know the laws of the road. They 434 00:29:07,440 --> 00:29:11,200 Speaker 1: then get in these gigantic weapons and get out on 435 00:29:11,240 --> 00:29:16,240 Speaker 1: the highway with your children and kill Americans. Have you 436 00:29:16,360 --> 00:29:19,720 Speaker 1: let me ask you something, how many foreign countries have 437 00:29:19,800 --> 00:29:24,520 Speaker 1: you been to? Have you ever been on the roads 438 00:29:24,760 --> 00:29:28,320 Speaker 1: of a foreign country. I'm not talking about Canada, that 439 00:29:28,360 --> 00:29:35,600 Speaker 1: doesn't count really a foreign country. It's horrifying the way 440 00:29:35,640 --> 00:29:40,960 Speaker 1: people drive. And I'm an aggressive, fast driver, and I 441 00:29:41,000 --> 00:29:45,280 Speaker 1: don't get car nervous or car sick, and I am 442 00:29:45,680 --> 00:29:51,200 Speaker 1: mortified at how foreign countries drive. No rules of the road, no, no, 443 00:29:51,200 --> 00:29:55,040 Speaker 1: none of that stuff. Well, they come over here because 444 00:29:55,080 --> 00:29:58,960 Speaker 1: Democrats bring them to the country illegally, and then Blue 445 00:29:59,000 --> 00:30:04,480 Speaker 1: states have these people drivers' licenses for big rigs and 446 00:30:04,520 --> 00:30:08,720 Speaker 1: they go out on the highway and kill your loved ones, 447 00:30:09,000 --> 00:30:13,400 Speaker 1: your family members. Tell me why California shouldn't be sued 448 00:30:14,200 --> 00:30:19,480 Speaker 1: into oblivion. And I know we're not going to get 449 00:30:19,520 --> 00:30:22,920 Speaker 1: this from the Trump administration. And that's not an insult again, 450 00:30:22,960 --> 00:30:27,120 Speaker 1: because he's step one in the thousand step anti communist process. 451 00:30:27,200 --> 00:30:32,520 Speaker 1: I get this, but how does a single federal dollar 452 00:30:33,440 --> 00:30:37,959 Speaker 1: still flow to states that allow this kind of nonsense? 453 00:30:39,120 --> 00:30:44,880 Speaker 1: How is that humanly possible? You could almost look at 454 00:30:44,880 --> 00:30:49,680 Speaker 1: that as an act of insurrection by a state to 455 00:30:49,840 --> 00:30:54,200 Speaker 1: provide commercial drivers' licenses to illegals who don't know the 456 00:30:54,280 --> 00:30:56,960 Speaker 1: laws of the road, don't care about the laws of 457 00:30:57,000 --> 00:30:59,640 Speaker 1: the road, and this is while they're providing them welfare 458 00:30:59,640 --> 00:31:01,240 Speaker 1: with your But twenty. 459 00:31:00,880 --> 00:31:05,720 Speaker 6: One states, including California, New York, and Minnesota, the Blue States, 460 00:31:05,760 --> 00:31:10,200 Speaker 6: continued to say no. So as of next week, we 461 00:31:10,360 --> 00:31:14,360 Speaker 6: have begun and we'll begin to stop moving federal funds 462 00:31:14,360 --> 00:31:17,440 Speaker 6: into those states until they comply and they tell us 463 00:31:17,480 --> 00:31:19,960 Speaker 6: and allow us to partner with them to root out 464 00:31:19,960 --> 00:31:22,760 Speaker 6: this fraud and to protect the American taxpayer. 465 00:31:23,360 --> 00:31:25,680 Speaker 1: But of course we know who the Blue states, what 466 00:31:25,760 --> 00:31:28,600 Speaker 1: the Democrat states, We know who they're interested in protecting. 467 00:31:29,240 --> 00:31:33,520 Speaker 1: It's not you. You're the problem, you see, you're the patriot. 468 00:31:33,880 --> 00:31:37,920 Speaker 1: You're what holds them back. Who are they protecting, Well, 469 00:31:38,760 --> 00:31:40,320 Speaker 1: they're constituents. Kelsey and Ready. 470 00:31:40,360 --> 00:31:43,240 Speaker 7: A judge sentenced the Minneapolis man in those cases back 471 00:31:43,280 --> 00:31:45,640 Speaker 7: in May that he got credit for time served, so 472 00:31:45,680 --> 00:31:47,600 Speaker 7: he never went to prison. It was all part of 473 00:31:47,600 --> 00:31:49,760 Speaker 7: a pair of plea deals. This is the man we're 474 00:31:49,800 --> 00:31:53,440 Speaker 7: talking about. His name is ab De Mahat Billy Muhammad, 475 00:31:53,480 --> 00:31:56,160 Speaker 7: but prosecutors say the twenty eight year old uses the 476 00:31:56,240 --> 00:32:00,000 Speaker 7: names Kareem and Altesto on Snapchat, and that is where 477 00:32:00,080 --> 00:32:03,160 Speaker 7: investigators say he met his latest victim, as well as 478 00:32:03,160 --> 00:32:06,440 Speaker 7: his two previous ones. Prosecutors say he picked up his 479 00:32:06,520 --> 00:32:09,560 Speaker 7: most recent victim in man Cato back in September and 480 00:32:09,680 --> 00:32:12,200 Speaker 7: drove her to a hotel near the Mall of America, 481 00:32:12,280 --> 00:32:15,560 Speaker 7: where he took her phone, told her she wasn't leaving, 482 00:32:15,840 --> 00:32:18,520 Speaker 7: raped her, and held her against her will for days. 483 00:32:18,560 --> 00:32:22,800 Speaker 7: That's according to prosecutors. Investigators used DNA to identify Mohammed 484 00:32:22,840 --> 00:32:26,560 Speaker 7: as the suspect. His profile was already in the database 485 00:32:26,600 --> 00:32:30,440 Speaker 7: from previous cases involving sexual assaults in Minneapolis in twenty 486 00:32:30,440 --> 00:32:33,320 Speaker 7: seventeen and another one in twenty twenty four. 487 00:32:33,960 --> 00:32:38,600 Speaker 1: Brought to this country by Democrats, given legal protection by democrats, 488 00:32:39,000 --> 00:32:44,600 Speaker 1: given your money by democrats. Freaking evil man. Now, before 489 00:32:44,640 --> 00:32:48,120 Speaker 1: I go to headlines, I didn't get to. I wanted 490 00:32:48,160 --> 00:32:52,560 Speaker 1: to let you know something. It's hard to find inflation 491 00:32:52,760 --> 00:32:56,000 Speaker 1: relief out there. I get that. I'm not going to 492 00:32:56,080 --> 00:32:58,320 Speaker 1: be labor the point that I've made many times before. 493 00:33:00,120 --> 00:33:04,160 Speaker 1: Consider that the prices in red states are much lower. 494 00:33:04,200 --> 00:33:06,840 Speaker 1: It's not just better legal protection, it's not just a 495 00:33:06,880 --> 00:33:11,400 Speaker 1: better form of government. Tax is lower, regulations, lower fees, 496 00:33:11,520 --> 00:33:16,120 Speaker 1: lower if you, if you, if you, if you can 497 00:33:16,160 --> 00:33:18,320 Speaker 1: do it with your job, with your family, if it's 498 00:33:18,360 --> 00:33:22,000 Speaker 1: possible for you, and you're looking to have your money 499 00:33:22,000 --> 00:33:26,640 Speaker 1: go a little further, consider a red state, right. You know, 500 00:33:27,680 --> 00:33:30,720 Speaker 1: you know what gas is here? Two dollars and thirty 501 00:33:30,720 --> 00:33:33,320 Speaker 1: cents a gallon. Thanks for that tidbit, Chris. Yeah, no, 502 00:33:33,360 --> 00:33:34,719 Speaker 1: I drove by the last night, Chris. It was two 503 00:33:34,760 --> 00:33:38,240 Speaker 1: twenty nine, two twenty nine a gallon. There's something to 504 00:33:38,240 --> 00:33:38,680 Speaker 1: think about. 505 00:33:39,000 --> 00:33:42,200 Speaker 5: And now here's a headline, why you know, you know the. 506 00:33:42,200 --> 00:33:49,480 Speaker 1: Thing headlines We didn't get to you. Democrat Chris van 507 00:33:49,600 --> 00:33:54,040 Speaker 1: Holland breathes life into years old hoax in the aftermath 508 00:33:54,120 --> 00:33:57,040 Speaker 1: of National Guard shooting. This is the hoax where they 509 00:33:57,120 --> 00:34:01,080 Speaker 1: said Trump called our troops suckers and losers. Remember that 510 00:34:01,520 --> 00:34:05,240 Speaker 1: Democrats live in a world of make believe. That make believe. 511 00:34:05,280 --> 00:34:09,760 Speaker 1: It's carefully created and maintained for them by the American media, 512 00:34:10,120 --> 00:34:14,840 Speaker 1: the university system, and Democrat politicians. It's why it's almost 513 00:34:14,880 --> 00:34:18,400 Speaker 1: completely pointless to have an argument with your liberal ant Peggy, 514 00:34:18,600 --> 00:34:21,839 Speaker 1: because liberal AMT Peggy is one hundred percent certain of 515 00:34:21,920 --> 00:34:24,719 Speaker 1: so many things that are not true at all. It 516 00:34:24,760 --> 00:34:28,640 Speaker 1: would be like arguing with your dog. Peru presidential hopeful 517 00:34:28,920 --> 00:34:33,200 Speaker 1: escapes gun attack unscathed. There are parts of the world 518 00:34:33,480 --> 00:34:39,360 Speaker 1: where politicians are routinely assassinated, and I am afraid that 519 00:34:39,400 --> 00:34:42,960 Speaker 1: we are approaching that way really really quickly, really really quickly. 520 00:34:42,960 --> 00:34:46,680 Speaker 1: We all remember what happened last election. Employees say Harris 521 00:34:47,040 --> 00:34:52,000 Speaker 1: chose Walls despite repeated fraud warnings in Minnesota. Why would 522 00:34:52,040 --> 00:34:55,719 Speaker 1: Kamala Harris be worried about the fraud warnings of Tim 523 00:34:55,760 --> 00:34:58,239 Speaker 1: Walls and what's going on in his state when she 524 00:34:58,360 --> 00:35:01,239 Speaker 1: knew for a fact the main stream media would cover 525 00:35:01,440 --> 00:35:04,759 Speaker 1: up those warnings of fraud and do whatever they had 526 00:35:04,760 --> 00:35:07,560 Speaker 1: to do to insure Tim Walls got into the White 527 00:35:07,600 --> 00:35:10,800 Speaker 1: House with Dome so they could continue the communist destruction 528 00:35:10,960 --> 00:35:17,280 Speaker 1: of America. Bernie Sanders and Zorron Mamdani joined Starbucks Barista strike. 529 00:35:17,600 --> 00:35:20,359 Speaker 1: I gotta be honest with you. Starbucks has long been 530 00:35:20,440 --> 00:35:24,640 Speaker 1: one of these lefty lib garbage comedy companies. So watching 531 00:35:24,680 --> 00:35:28,840 Speaker 1: the communists from within have this huge internal revolt about 532 00:35:29,000 --> 00:35:33,520 Speaker 1: unionization and making life miserable for them, it's just endlessly 533 00:35:33,640 --> 00:35:36,360 Speaker 1: hilarious to me. I hope it goes on forever. I 534 00:35:36,360 --> 00:35:40,719 Speaker 1: think it's wonderful now. I will be back again tomorrow. 535 00:35:41,400 --> 00:35:43,680 Speaker 1: Let's hope we're not at war with Venezuela by the 536 00:35:43,719 --> 00:35:47,680 Speaker 1: time we get back here. All right, that's all.